[Characteristics of quantitative change relation between insulin and testosterone in polycystic ovary syndrome].

Objective: To investigate the relationship of dynamic quantitative changes between insulin and testosterone in polycystic ovary syndrome (PCOS).

Methods: Peripheral blood samples were collected in the third to fifth day menstrual cycle from 97 PCOS patients, aged (24 +/- 6), 47 being obese (with BMI > 25 kg/m(2)) and 50 being non-obese (with BMI
Results: (1) The correlation between testosterone and insulin was the most perfect when the T and insulin levels 120 min later of the obese and non-obese PCOS patients and the controls were expressed by Compound equation with the Rsq values of 0.84, 0.79, and 0.894 respectively. (2) The Compound function curves corresponding to the data of the 3 groups showed significantly different parameters.

Conclusion: (1) Compound equation is the optimized equation to express the quantitative change relationship between the testosterone and insulin levels in OCOS. (2) The difference in homeostasis ability to T and insulin may be related to the difference in the various parameters derived by Compound equation.